Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Learning objectives
- Master the fundamentals of Supervised Fine-Tuning (SFT) to adapt AI models to professional needs in tourism
- Develop skills in preparing high-quality datasets for hotel businesses
- Implement SFT pipelines using open-source tools adapted to restaurants and hotels
- Design customized AI applications that boost customer satisfaction in tourism
- Optimize SFT models for concrete certifying business cases
- Evaluate the impact of SFT training on the operational performance of tourist establishments
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1Supervised Fine-Tuning (SFT) Fundamentals: Theoretical Principles and Hotel Cases (Python Tools, Introductory Datasets)
Discover the basics of Supervised Fine-Tuning (SFT) through clear theoretical modules, applied to real hotel scenarios such as customer response personalization. Use Python and Hugging Face to explore tourism datasets, perform guided exercises on adjusting pre-trained models, produce your first analysis reports, consolidate with interactive quizzes, prepare the ground for advanced practices in restaurants.
Module 2Dataset Preparation for Supervised Fine-Tuning (SFT): Collection and Cleaning for Tourism (Annotation Methods, LabelStudio Tools)
Dive into collecting tourism and hospitality-specific data, clean customer datasets using pandas and dedicated SFT techniques, manually annotate typical reception or restaurant interactions via LabelStudio, test data quality through cross-validation, apply to concrete cases like occupancy forecasting, generate ready-to-use pipelines for fine-tuning, exchange in groups on business adaptations.
Module 3Practical Implementation of Supervised Fine-Tuning (SFT): Training AI Models for Hospitality (Hugging Face Transformers, Local GPU)
Get hands-on with training SFT models on customized datasets, set up Hugging Face environments for restaurant applications, adjust hyperparameters for efficient hotel chatbots, monitor losses and metrics via TensorBoard, deploy tested prototypes on real scenarios like personalized recommendations, debug in real-time with trainer support, produce functional deliverables for business.
Module 4Deployment and Optimization of Supervised Fine-Tuning (SFT): Production Integration for Tourism (Docker, Streamlit APIs)
Finalize with deploying optimized SFT models in hotel production, containerize with Docker for restaurant scalability, integrate APIs via Streamlit for intuitive customer interfaces, evaluate performance on tourism benchmarks, optimize for reduced costs and speed, simulate live use cases like AI reservation management, conclude with a certifying action plan for your business, receive Qualiopi certification.
Evaluation method
- Daily interactive quizzes on SFT concepts
- Final project: SFT model applied to a hotel case
- Certifying evaluation through professional situational assessment
Learning method
- Alternating theory and 70% hands-on practice
- Real cases from hospitality and restaurants
- Work in small groups of max 10 participants
- Personalized support with open-source tools
Methods, materials and delivery
The Training Supervised Fine-Tuning (SFT) - Personalizing AI for Tourism program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training Supervised Fine-Tuning (SFT) - Personalizing AI for Tourism program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training Supervised Fine-Tuning (SFT) - Personalizing AI for Tourism program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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